Details
Skills
SQL, MySQL, MongoDB, Python, R, Excel, JavaScript, Node.js, pandas, NumPy, scikit-learn, ggplot2, tidyverse, Data Analysis, Data Cleaning, Data Wrangling, Data Validation, Data Quality, Data Reconciliation, ETL, Statistical Analysis, Hypothesis Testing, Regression, ANOVA, Experimental Design, Feature Engineering, Cross-Validation, Predictive Modeling, Machine Learning, Data Visualization, Business Reporting, Database Design, Relational Databases (3NF), Git, GitHub, Docker, Jupyter, RMarkdown, Quarto, ArcGIS, ArcMap, Spatial Analysis, GPS Data Collection, Healthcare Data, EHR Data, Research Data Collection, Scientific Writing, Tableau, American Sign Language (ASL)
About
M.S. Data Science graduate with a biology and ecology research background and hands-on experience designing data collection and analyzing real-world data with SQL, Python, R, and Excel (plus Tableau coursework), from structured field-research spreadsheets to a normalized SQL database delivering healthcare business reports. Validated measurement methods, reconciled mismatched data sources, and caught bad records before they reached a report, and communicated complex findings through one-on-one tutoring and national conference presentations. Open to data analyst, reporting analyst, data quality analyst, research analyst, and business analyst roles, as well as related data-focused and data-adjacent positions; available remote or on-site.
Profile Photo
